Meeting/Event Information

DAMA Philadelphia hosts five full day chapter meetings per year, every other month from September through May. There are additional professional development opportunities, such as instructor led training, seminars and certification camps. These special events are priced separately at a discounted rate. Networking functions are held after select meetings and events.

Past Meetings

Data Modeling, Cloud DW, and more! With Steve Hoberman and Barry Devlin.

 

November 29, 2023

 

10:00 AM to 12:00 PM

 

Zoom.us

Join us for a virtual meeting co-presented by several of the largest DAMA Chapters!

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September DAMA Philadelphia Day

 

September 13, 2023

 

9:00 AM to 7:00 PM

 

Department of Behavioral Health and Intellectual disAbility Services
801 Market St
Philadelphia, PA 19107
Venue website

featuring Donna Burbank and Gwen Thomas!

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Data Governance in the Cloud & Maturing the Data Lake

 

June 21, 2023

 

9:00 AM to 3:30 PM

 

Slalom Consulting
100 N 18th St Ste 2000
Philadelphia, PA 19103
Venue website

Join us for our June meeting!

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DAMA Chicago & DAMA Philadelphia present - Chris Bradley

 

May 17, 2023

 

9:00 AM to 7:00 PM

 

Zoom.us

Head on over to Upcoming Meetings – DAMA Chicago to register for this one in a series of collaborations between Philadelphia and other major US chapters. Chris Bradley, who led our CDMP Boot Camp a few years back, is the featured speaker!

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Data Privacy and Cyber Security

 

February 23, 2023

 

9:00 AM to 3:00 PM

 

Department of Behavioral Health and Intellectual disAbility Services
801 Market St
Philadelphia, PA 19107
Venue website

Data Privacy, Including the Latest Updates on the Regulatory Landscape

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DAMA Partner event - Coping with Complexity - Members ONLY

 

February 15, 2023

 

9:00 AM to 12:15 PM

 

Zoom.us

DAMA Partner event - Coping with Complexity

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Analytics and Reporting on Disparate Data Sources

 

January 26, 2023

 

9:30 AM to 12:00 PM

 

Zoom.us

360° Corporate Data Asset Access for Reporting and Analytics and a case study describing how one organization solves problems with reporting from disparate data sources.

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